Prediction of overpotential and concentration profiles in solid oxide fuel cell based on improved analytical model of charge and mass transfer

Prediction of overpotential and concentration profiles in solid oxide fuel cell based on improved analytical model of charge and mass transfer
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基于改进的电荷和质量传递分析模型预测固体氧化物燃料电池中的过电势和浓度分布

DOI:
10.1016/j.jpowsour.2019.227499
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发表时间:
2020-02
影响因子:
9.2
通讯作者:
Gao Ting
Gao Ting
中科院分区:
工程技术2区
文献类型:
--
作者:
Feng Daili;Bao Cheng;Gao Ting

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超电势及其浓度分布的准确预测对于理解电化学反应工程和基础理论具有重要意义。传统的线性近似(CLA)的Butler-Volmer动力学中的指数项导致显着的差异,在中等和高电负载的过电位分布的估计。基于一维无量纲电荷转移模型,提出了一种线性平移(LT)方法来解决CLA问题,并改进了非线性近似的幂律(PL)方法(J Power Sources,210(2012)67-80),其在高电流密度下是准确的,但仍限于厚电极的情况。混合LT + PL的方法,然后令人信服地验证了在广泛的燃料电池操作,包括中等和高的工作电流密度,电解质和电极支持的电极,和不对称的阳极和阴极的传输系数。然后,分析的物种浓度分布从一个解耦的电荷/质量传递模型。封闭形式的电极级模型显著提高了热电化学电池级模拟的计算效率。虽然在固体氧化物燃料电池的上下文中进行了讨论,但这项工作中的方法适用于持有Butler-Volmer动力学的一般电化学系统。
The accuracy of prediction of overpotential and relevant concentration distributions is important for understanding fundamentals and electrochemical reaction engineering. The conventional linear approximation (CLA) of the exponent items in the Butler-Volmer kinetics causes significant discrepancies in the estimation of the overpotential profile at moderate and high electric loads. Based on a one-dimension dimensionless charge transfer model, an approach of linear translation (LT) is presented to solve the problem of the CLA and improve the power-law (PL) approach of nonlinear approximation (J Power Sources, 210 (2012) 67–80), which is accurate at high current densities but is still limited to cases of thick electrodes. The hybrid LT + PL approach is then convincingly validated in a wide range of fuel cell operations, including moderate and high operating current densities, electrolyte- and electrode-supported electrodes, and asymmetric anodic and cathodic transfer coefficients. Then the analytical species concentration profiles are obtained from a decoupled charge/mass transfer model. The closed-form electrode-level model significantly improves the computational efficiency in thermo-electrochemical cell-level simulation. Although discussed in the context of solid oxide fuel cells, the approaches in this work are applicable to general electrochemical systems which hold Butler-Volmer kinetics.
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